- Home
- Publications
- Publication Search
- Publication Details
Title
Random radial basis function kernel-based support vector machine
Authors
Keywords
-
Journal
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
Volume 358, Issue 18, Pages 10121-10140
Publisher
Elsevier BV
Online
2021-10-22
DOI
10.1016/j.jfranklin.2021.10.005
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family
- (2018) Luis Carlos Padierna et al. PATTERN RECOGNITION
- A Novel Multiple Kernel Learning Framework for Multiple Feature Classification
- (2017) Saeid Niazmardi et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Granularity selection for cross-validation of SVM
- (2017) Yong Liu et al. INFORMATION SCIENCES
- Optimization extreme learning machine with ν regularization
- (2017) Ding Xiao-jian et al. NEUROCOMPUTING
- Empirical comparison of cross-validation and internal metrics for tuning SVM hyperparameters
- (2017) Edson Duarte et al. PATTERN RECOGNITION LETTERS
- New Hermite orthogonal polynomial kernel and combined kernels in Support Vector Machine classifier
- (2016) Vahid Hooshmand Moghaddam et al. PATTERN RECOGNITION
- Step-wise support vector machines for classification of overlapping samples
- (2015) Mengyu Fu et al. NEUROCOMPUTING
- On the kernel Extreme Learning Machine classifier
- (2015) Alexandros Iosifidis et al. PATTERN RECOGNITION LETTERS
- What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle
- (2015) Guang-Bin Huang Cognitive Computation
- A Kernel Classification Framework for Metric Learning
- (2015) Faqiang Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- A chaos embedded GSA-SVM hybrid system for classification
- (2014) Chaoshun Li et al. NEURAL COMPUTING & APPLICATIONS
- Multiple-kernel-learning-based extreme learning machine for classification design
- (2014) Xiaodong Li et al. NEURAL COMPUTING & APPLICATIONS
- Principal Composite Kernel Feature Analysis: Data-Dependent Kernel Approach
- (2012) Yuichi Motai et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Extreme Learning Machine for Regression and Multiclass Classification
- (2011) Guang-Bin Huang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- A set of new Chebyshev kernel functions for support vector machine pattern classification
- (2011) Sedat Ozer et al. PATTERN RECOGNITION
- Analysis of the Distance Between Two Classes for Tuning SVM Hyperparameters
- (2010) Jiancheng Sun et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Optimization method based extreme learning machine for classification
- (2010) Guang-Bin Huang et al. NEUROCOMPUTING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now